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Clera

Resident Solution Architect (Databricks)

remote (Remote)fulltimemidAdded today

About this role

About the Role

This is a senior, hands-on Solution Architect role focused on Databricks, sitting within a data infrastructure and analytics consulting practice. You will lead and deliver enterprise-scale Databricks implementations for complex clients, acting as a trusted technical authority on the Lakehouse Platform.

What You'll Do

  • Architect and deliver end-to-end Databricks implementations across client engagements at enterprise scale.

  • Design and optimize large-scale data platforms with a focus on performance tuning, scalability, and best practices.

  • Apply deep expertise in Apache Spark and distributed computing, including Spark runtime internals, to solve complex data engineering challenges.

  • Guide clients on Databricks Lakehouse Platform capabilities, current features, and recommended architecture patterns.

  • Integrate CI/CD pipelines to support production-grade deployments and ongoing data platform operations.

  • Apply working knowledge of MLOps practices within the broader data and AI enablement context.

  • Engage across one or more major cloud platforms (AWS, Azure, or GCP) to deliver cloud-native data solutions.

What We're Looking For

  • 10+ years of consulting experience, including 7+ years focused on Data Engineering, Data Platforms, and Analytics.

  • Proven track record delivering 6 to 8 or more Databricks implementation projects in a hands-on Solution Architect capacity.

  • Databricks Data Engineering Professional Certification (strongly preferred).

  • Strong expertise in Apache Spark and distributed computing, including internals-level knowledge of the Spark runtime.

  • Deep understanding of the Databricks Lakehouse Platform, including current capabilities and production best practices.

  • Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP; multi-cloud experience is a plus.

  • Solid understanding of CI/CD pipelines for production deployments.

  • Working knowledge of MLOps concepts and tooling.

  • Background in performance tuning, optimization, and scalability of large-scale data platforms.

  • Must be authorized to work in the United States; visa sponsorship is not available for this role.

Compensation & Benefits

Up to $80/hr on W2. Visa sponsorship is not available.

Location

Fully remote, open to candidates based in North America.

Written by Clera. Original job post

Skills mentioned

  • AWS
  • Azure
  • CI/CD
  • Data Engineering
  • Databricks
  • Google Cloud
  • Spark
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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